Formula generator for PERCENTILE.EXC FUNCTION function
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How to generate an PERCENTILE.EXC FUNCTION formula using AI.
To obtain information on the ARRAY_CONSTRAIN formula, you could ask the AI chatbot the following question: “To get the PERCENTILE.EXC formula for your data, you could ask the AI chatbot: "What Excel formula can I use to calculate the percentile excluding the highest and lowest values in my data?"”
PERCENTILE.EXC FUNCTION formula syntax
The PERCENTILE.EXC function in Excel is used to calculate the k-th percentile of a given dataset, excluding zero values. The syntax for the function is: =PERCENTILE.EXC(array, k) - The "array" argument is the range of cells or array containing the dataset for which you want to find the percentile. - The "k" argument is the percentile value you want to calculate, expressed as a decimal between 0 and 1. The function returns the value at the specified percentile in the dataset, excluding any zero values.
Use Cases & Examples
In these use cases, we use the PERCENTILE.EXC function to calculate the specified percentile of values in a range.
Calculating the 90th percentile of sales data
Description
In this use case, we use the PERCENTILE.EXC function to calculate the 90th percentile of sales data. This can help us identify the sales value that is higher than 90% of the other sales values.
Result
PERCENTILE.EXC(A1:A100, 0.9)
Determining the 75th percentile of test scores
Description
In this use case, we use the PERCENTILE.EXC function to determine the 75th percentile of test scores. This can help us understand the performance of students and identify the score that is higher than 75% of the other scores.
Result
PERCENTILE.EXC(B1:B50, 0.75)
Analyzing the 95th percentile of website load times
Description
In this use case, we use the PERCENTILE.EXC function to analyze the 95th percentile of website load times. This can help us identify the load time that is higher than 95% of the other load times, which can be useful for performance optimization.
Result
PERCENTILE.EXC(C1:C200, 0.95)
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